Overview

In this W7069G: IBM Watson OpenScale Methodology training course, uou will learn how Watson OpenScale lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production.

Note: This course contains the same topics as 6X240G IBM Watson OpenScale on IBM Cloud Pak for Data WBT.

Skills Covered

  • Introduction to IBM Watson OpenScale
  • Watson OpenScale architecture
  • Get started with Watson OpenScale
  • Overview of Watson OpenScale monitors
  • Explore a use case
  • Build and configure the fairness monitor
  • Configure the quality monitor
  • Detect drift and configure the drift monitor
  • Configure application monitors

Who Should Attend

Analysts, Developers, Data Scientists and others who need to monitor machine learning jobs

Course Curriculum

Prerequisites

  • Basic knowledge of cloud platforms, for example IBM Cloud
  • Basic understanding of machine learning models, and how they are used

Download Syllabus

Course Modules